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On Robots and Flies: Modeling the visual orientation behavior of flies

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83985

Huber,  S
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83919

Franz,  M
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Huber, S., Franz, M., & Bülthoff, H.(1998). On Robots and Flies: Modeling the visual orientation behavior of flies (56).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-E8C5-7
Abstract
Although artificial and biological systems face similar sensorimotor control problems, until today only a few attempts have been made to implement specific biological control structures on robots. Nevertheless, the process of designing the sensorimotor control of a robot can contribute to our understanding of these mechanisms and can provide the basis of a critical evaluation of existing biological models. Flies have developed a specialized visuomotor control for tasks such as course stabilization, fixation and approach towards stationary objects, tracking of moving objects, and landing, which are based on the analysis of visual motion information. Theoretical and experimental results suggest that in flies the visuomotor control for course stabilization as well as fixation and approach towards stationary objects may be implemented at least partially by one common sensory circuit. We present agents with a visuomotor controller that regulates the two behaviors of course stabilization and object fixation. To test this controller under real world conditions, we implemented it on a miniature robot. We have been able to show that, in addition to course stabilization and object fixation, the robot also approaches stationary objects.